André Longtin
- Statistical and Nonlinear Physics top 0.05%
- stochastic dynamics and bifurcation 108
- Chaos control and synchronization 13
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function 149
- Computer Networks and Communications top 0.5%
- Nonlinear Dynamics and Pattern Formation 61
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- Neuroscience and Neural Engineering 19
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- Fish biology, ecology, and behavior 46
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- Advanced Memory and Neural Computing 29
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- Neural Networks and Applications 12
- Co-authors
- James TheilerJ. Doyne FarmerB. GaldrikianStephen EubankLeonard MalerMaurice J. ChacronJohn MiltonBenjamin Lindner
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Networks and Communications
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (10 papers)Journal of Neurophysiology (9 papers)BMC Neuroscience (8 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
André Longtin
206 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Statistical and Nonlinear Physics 5.0k
- Cognitive Neuroscience 5.8k
- Computer Networks and Communications 2.6k
- Cellular and Molecular Neuroscience 1.7k
- Nature and Landscape Conservation 1.1k
Countries citing papers authored by André Longtin
This map shows the geographic impact of André Longtin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by André Longtin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Longtin more than expected).
Fields of papers citing papers by André Longtin
This network shows the impact of papers produced by André Longtin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by André Longtin. The network helps show where André Longtin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside André Longtin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 7 | |
| 7 | 2015 | 19 | |
| 8 | 2014 | 61 | |
| 9 | 2011 | 44 | |
| 10 | 2011 | 14 | |
| 11 | 2009 | 51 | |
| 12 | 2009 | 9 | |
| 13 | 2004 | 103 | |
| 14 | 2003 | 82 | |
| 15 | 2003 | 25 | |
| 16 | Effect of Noise on the Coding Properties of Two Fundamental Types of Neurons | 2002 | 1 |
| 17 | 2002 | 275 | |
| 18 | Statistical and Dynamical Interpretation of ISIH Data from Periodically Stimulated Sensory Neurons | 1992 | 2 |
| 19 | Using Surrogate Data to Detect Nonlinearity in Time Series | 1991 | 121 |
| 20 | 1989 | 33 |
About André Longtin
André Longtin is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Nature and Landscape Conservation, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 210 papers that have together received 10.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (149 papers), stochastic dynamics and bifurcation (108 papers), Nonlinear Dynamics and Pattern Formation (61 papers), Fish biology, ecology, and behavior (46 papers), Advanced Memory and Neural Computing (29 papers), Neuroscience and Neural Engineering (19 papers), Chaos control and synchronization (13 papers) and Neural Networks and Applications (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (5.0k citations), Cognitive Neuroscience (5.8k citations), Computer Networks and Communications (2.6k citations), Cellular and Molecular Neuroscience (1.7k citations) and Nature and Landscape Conservation (1.1k citations). André Longtin has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include James Theiler, J. Doyne Farmer, B. Galdrikian, Stephen Eubank, Leonard Maler, Maurice J. Chacron, John Milton, Benjamin Lindner, Brent Doiron and Adi R. Bulsara. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Journal of Neurophysiology, BMC Neuroscience, Neural Computation and Journal of Computational Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.